A Rao-Blackwellized particle filter for estimating the behavioral parameter of the functional response and tracking the biomass of each population in a stochastic predator-prey system is presented in this paper. We consider a predator-prey model with a Lotka-Volterra functional response and small sets of field data. A first validation of the approach has been carried out using synthetic data.

(2013). Joint parameter estimation and biomass tracking in a stochastic predator-prey system . Retrieved from http://hdl.handle.net/10446/171568

Joint parameter estimation and biomass tracking in a stochastic predator-prey system

Lanzarone, Ettore;
2013-01-01

Abstract

A Rao-Blackwellized particle filter for estimating the behavioral parameter of the functional response and tracking the biomass of each population in a stochastic predator-prey system is presented in this paper. We consider a predator-prey model with a Lotka-Volterra functional response and small sets of field data. A first validation of the approach has been carried out using synthetic data.
2013
Inglese
The Contribution of Young Researchers to Bayesian Statistics
978-3-319-02083-9
63
23
27
online
Switzerland
Cham
Springer
esperti anonimi
BAYSM 2013: Bayesian Young Statisticians Meeting, Milano, Italia, 5-6 giugno 2013
Milano, Italia
5-6 giugno 2013
nazionale
contributo
Settore MAT/06 - Probabilita' e Statistica Matematica
Settore MAT/08 - Analisi Numerica
Particle Filter; Behavioral; Parameter Prey Model; Prey System; Habitat Unit;
info:eu-repo/semantics/conferenceObject
7
Martín-Fernández, Laura; Gilioli, Gianni; Lanzarone, Ettore; Míguez, ‪Joaquin; Pasquali, Sara; Ruggeri, Fabrizio; Ruiz, Diego Pablo...espandi
1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations
reserved
Non definito
273
(2013). Joint parameter estimation and biomass tracking in a stochastic predator-prey system . Retrieved from http://hdl.handle.net/10446/171568
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